Breast cancer detection using quantum ML and ...

Breast cancer detection using quantum ML and DL and comparison with ML and DL

Author Name : Mr. R Suresh, Niroubama V, Trisha S, Dheepika A

ABSTRACT Detecting breast cancer is still a major worldwide health concern, which highlights the urgent need for sophisticated and precise techniques of diagnosis. This project offers a quantum leap in computational efficiency and pattern identification by utilizing the state-of-the-art capabilities of Quantum Machine Learning (QML) and Deep Learning (DL) in breast cancer detection. By utilizing the properties of quantum superposition and entanglement, the suggested quantum model offers exponential speedups for intricate data analysis. At the same time, traditional Deep Learning models— in particular, Convolutional Neural Networks (CNNs) are utilized due to their ability to extract features and classify them.